Logistics supply chain service monitoring system

Abstract

The invention relates to the technical field of logistics, and discloses a logistics supply chain service monitoring system, which comprises a manufacturing monitoring unit for monitoring workshop manufacturing nodes, a storage monitoring unit for monitoring warehouse nodes, and a distribution monitoring unit for monitoring distribution nodes. The manufacturing monitoring unit comprises a component monitoring module, a semi-finished product monitoring module and a finished product monitoring module; the storage monitoring unit comprises a data acquisition module, a data analysis processing module and an early warning generation module; the distribution monitoring unit comprises an order reading module, a distribution analysis module, a distribution screening module and a distribution information sharing module; according to the invention, the transparency and controllability of supply chain visual management are improved, the information interaction between the nodes is enhanced, the monitoring management flexibility of the supply chain is improved, and the inventory supply risk and the distribution cost are effectively reduced.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a logistics supply chain business monitoring system. Background Art

[0002] Supply chain refers to a complete supply chain formed by integrating multiple logistics around a core logistics enterprise. The supply chain is a logistics network composed of suppliers, manufacturers, warehouses, distribution centers and channel dealers. The same enterprise may constitute different nodes of this network, but in more cases, different enterprises constitute different nodes in this network. For example, in a certain supply chain, the same enterprise may occupy a position in both the manufacturer and warehouse nodes and the distribution center nodes. In a supply chain with finer division of labor and higher professional requirements, different nodes are basically composed of different enterprises. The raw materials, work-in-progress inventory and finished products flowing between the member units of the supply chain constitute the flow of goods in the supply chain. Supply chain management refers to optimizing the operation of the supply chain at the lowest cost, from procurement to satisfying the end customer.

[0003] The existing logistics supply chain monitoring system cannot monitor the workshop production data of manufacturing nodes, monitor the production status and quality status of parts, semi-finished products and finished products, thereby reducing the transparency and controllability of supply chain visualization management. In addition, there is a lack of effective information exchange between nodes, resulting in low flexibility in supply chain monitoring and management, and increasing inventory supply risks as well as manufacturing and distribution costs. Summary of the invention

[0004] The purpose of the present invention is to provide a logistics supply chain business monitoring system that improves the transparency and controllability of supply chain visualization management, enhances information interaction between nodes, improves the flexibility of supply chain monitoring management, and effectively reduces inventory supply risks and distribution costs.

[0005] The present invention is achieved in that:

[0006] A logistics supply chain business monitoring system, comprising a manufacturing monitoring unit for monitoring a workshop manufacturing node, a storage monitoring unit for monitoring a warehouse node, and a distribution monitoring unit for monitoring a distribution node;

[0007] The manufacturing monitoring unit includes a component monitoring module for monitoring the processes, machine types and personnel required to be experienced from semi-finished products to semi-finished products within the cycle time, as well as the semi-finished product capacity data; a semi-finished product monitoring module for monitoring the processes, machine types and personnel required to be experienced from semi-finished products to finished products within the cycle time, as well as the finished product capacity data; and a finished product monitoring module for monitoring the processes, machine types and personnel required to be experienced from finished products to warehousing within the cycle time, as well as the warehousing capacity data;

[0008] The warehouse monitoring unit includes a data acquisition module for monitoring the difference data between finished product entry and order exit and the difference data of similar products in adjacent warehouses, a data analysis and processing module for analyzing and processing the difference data between finished product entry and order exit and the difference data of similar products in adjacent warehouses, and an early warning generation module for generating early warning information according to the difference and feeding it back to the manufacturing monitoring unit;

[0009] The delivery monitoring unit includes an order reading module for acquiring order data information, a delivery analysis module for analyzing delivery routes, a delivery screening module for screening the best delivery route, and a delivery information sharing module for customers to monitor delivery information.

[0010] A logistics supply chain business monitoring method applied to a logistics supply chain business monitoring system, the specific steps of the monitoring method of the manufacturing monitoring unit are as follows:

[0011] Step A1: Scan the labels of the parts through the parts monitoring module to record the use, current status and source information of the parts, and record the processes, models and personnel experienced in the production process from parts to semi-finished products, and monitor and count the production capacity data within the semi-finished product cycle time;

[0012] Step A2: Monitor and record the processes, machines and personnel involved in the production process from semi-finished products to finished products through the semi-finished product monitoring module, and monitor and count the production capacity data within the finished product cycle time;

[0013] Step A3: Monitor and record the processes, machine types and personnel that the finished products go through during the storage process through the finished product monitoring module, and monitor and count the production capacity data of the finished products entering the storage within the cycle time;

[0014] Specific steps of the monitoring method of the warehouse monitoring unit:

[0015] Step B1: Obtain the order data and warehousing data of each product within the cycle time through the data acquisition module and obtain the corresponding difference data;

[0016] Step B2: Obtain the corresponding difference data of each product in adjacent warehouses through the data acquisition module;

[0017] Step B3: The data of step B1 and step B2 are processed again by the data analysis and processing module to obtain the corresponding inventory statistical data of each product within a certain range of storage;

[0018] Step B4: The early warning generation module generates early warning signals of different levels according to the ratio of the inventory statistics data corresponding to each product in a certain range of storage to the production capacity data of finished products entering the warehouse, and feeds them back to the component monitoring module, the semi-finished product monitoring module and the finished product monitoring module respectively;

[0019] Specific steps of the monitoring method of the distribution monitoring unit:

[0020] Step C1: Obtain order data information through the order reading module, the order data information includes the expected delivery time, the storage location of the supplied products and the delivery destination;

[0021] Step C2: Performing distribution route analysis based on the storage location of the supplied products and the distribution destination information through the distribution analysis module to obtain multiple distribution routes with duration identifiers;

[0022] Step C3: screening multiple delivery routes with time identifiers according to the expected delivery time through the delivery screening module to obtain the best delivery route;

[0023] Step C4: Share the best delivery route information with customers through the delivery information sharing module.

[0024] Furthermore, the warning signals are divided into overcapacity and overdemand. Among them, overcapacity is divided into yellow capacity warning, orange capacity warning and red capacity warning, and overdemand is divided into yellow demand warning, orange demand warning and red demand warning.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] In actual applications, the parts monitoring module, semi-finished product monitoring module and finished product monitoring module of the manufacturing monitoring unit respectively monitor the processes, models, personnel and corresponding production capacity of each link of the product at the production and manufacturing nodes, realize the order tracking function, and improve the transparency and controllability of supply chain visualization management; the warehouse monitoring unit monitors the warehouse inventory situation through the data acquisition module, and integrates the inventory data of similar products in multiple adjacent warehouses through the data analysis and processing module to comprehensively monitor the product warehouse inventory situation. The early warning generation module generates an early warning signal according to the output signal of the data analysis and processing module and transmits it to the manufacturing monitoring unit, which is convenient for the parts monitoring module, semi-finished product monitoring module and finished product monitoring module of the manufacturing monitoring unit to flexibly adjust according to the early warning signal, effectively helping production planning The distribution monitoring unit obtains the corresponding order data information through the order reading module, and the distribution analysis module obtains multiple distribution routes according to the information analysis obtained by the order reading module. The distribution screening module selects the optimal distribution route in combination with the corresponding order data information and the multiple distribution routes, and shares the real-time monitoring data of the distribution route with the customer through the distribution information sharing module, so as to facilitate the customer to monitor the distribution situation, reduce the distribution cost, and improve the transparency of the visual management of the supply chain. The present invention improves the transparency and controllability of the visual management of the supply chain, enhances the information interaction between nodes, improves the flexibility of the monitoring and management of the supply chain, and effectively reduces the inventory supply risk and distribution cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0029] Figure 2 is a flow chart of a monitoring method of a manufacturing monitoring unit of the present invention;

[0030] Figure 3 is a flow chart of a monitoring method of a storage monitoring unit of the present invention;

[0031] Figure 4 It is a flow chart of the monitoring method of the delivery monitoring unit of the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the invention claimed for protection, but merely represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0033] See also Figures 1 to 4 , a logistics supply chain business monitoring system, including a manufacturing monitoring unit for monitoring a workshop manufacturing node, a storage monitoring unit for monitoring a warehouse node, and a distribution monitoring unit for monitoring a distribution node;

[0034] The manufacturing monitoring unit includes a component monitoring module for monitoring the processes, machine types and personnel required to be experienced from semi-finished products to semi-finished products within the cycle time, as well as the semi-finished product capacity data; a semi-finished product monitoring module for monitoring the processes, machine types and personnel required to be experienced from semi-finished products to finished products within the cycle time, as well as the finished product capacity data; and a finished product monitoring module for monitoring the processes, machine types and personnel required to be experienced from finished products to warehousing within the cycle time, as well as the warehousing capacity data;

[0035] The warehouse monitoring unit includes a data acquisition module for monitoring the difference data between finished product entry and order exit and the difference data of similar products in adjacent warehouses, a data analysis and processing module for analyzing and processing the difference data between finished product entry and order exit and the difference data of similar products in adjacent warehouses, and an early warning generation module for generating early warning information according to the difference and feeding it back to the manufacturing monitoring unit;

[0036] The delivery monitoring unit includes an order reading module for acquiring order data information, a delivery analysis module for analyzing delivery routes, a delivery screening module for screening the best delivery route, and a delivery information sharing module for customers to monitor delivery information.

[0037] In actual applications, the parts monitoring module, semi-finished product monitoring module and finished product monitoring module of the manufacturing monitoring unit respectively monitor the processes, models, personnel and corresponding production capacity of each link of the product at the production and manufacturing nodes, realize the order tracking function, and improve the transparency and controllability of supply chain visualization management; the warehouse monitoring unit monitors the warehouse inventory situation through the data acquisition module, and integrates the inventory data of similar products in multiple adjacent warehouses through the data analysis and processing module to comprehensively monitor the product warehouse inventory situation. The early warning generation module generates an early warning signal according to the output signal of the data analysis and processing module and transmits it to the manufacturing monitoring unit, which is convenient for the parts monitoring module, semi-finished product monitoring module and finished product monitoring module of the manufacturing monitoring unit to flexibly adjust according to the early warning signal, effectively helping production planning The distribution monitoring unit obtains the corresponding order data information through the order reading module, and the distribution analysis module obtains multiple distribution routes according to the information analysis obtained by the order reading module. The distribution screening module selects the optimal distribution route in combination with the corresponding order data information and the multiple distribution routes, and shares the real-time monitoring data of the distribution route with the customer through the distribution information sharing module, so as to facilitate the customer to monitor the distribution situation, reduce the distribution cost, and improve the transparency of the visual management of the supply chain. The present invention improves the transparency and controllability of the visual management of the supply chain, enhances the information interaction between nodes, improves the flexibility of the monitoring and management of the supply chain, and effectively reduces the inventory supply risk and distribution cost.

[0038] See also Figures 1 to 4, a logistics supply chain business monitoring method applied to the logistics supply chain business monitoring system, the specific steps of the monitoring method of manufacturing monitoring unit:

[0039] Step A1: Scan the labels of the parts through the parts monitoring module to record the use, current status and source information of the parts, and record the processes, models and personnel experienced in the production process from parts to semi-finished products, and monitor and count the production capacity data within the semi-finished product cycle time;

[0040] Step A2: Monitor and record the processes, machines and personnel involved in the production process from semi-finished products to finished products through the semi-finished product monitoring module, and monitor and count the production capacity data within the finished product cycle time;

[0041] Step A3: Monitor and record the processes, machine types and personnel that the finished products go through during the storage process through the finished product monitoring module, and monitor and count the production capacity data of the finished products entering the storage within the cycle time;

[0042] By scanning the labels of parts, we can record the use, current status and source information of parts. By recording and counting the processes from parts to semi-finished products, finished products and finally to packaging and warehousing, we can track the details of product production. In this way, we can trace the machine models and personnel corresponding to the processes experienced in the product production process, as well as the packaging, warehousing, in-warehouse adjustments, outbound delivery and quality inspection experienced by the finished products. In addition, we can statistically monitor the production capacity data of each link to help production planning and scheduling, control the production process, facilitate quality monitoring and process management of the entire manufacturing node, and adjust inventory to save production capacity.

[0043] Specific steps of the monitoring method of the warehouse monitoring unit:

[0044] Step B1: Obtain the order data and warehousing data of each product within the cycle time through the data acquisition module and obtain the corresponding difference data;

[0045] Step B2: Obtain the corresponding difference data of each product in adjacent warehouses through the data acquisition module;

[0046] Step B3: The data of step B1 and step B2 are processed again by the data analysis and processing module to obtain the corresponding inventory statistical data of each product within a certain range of storage;

[0047] Facilitates dispatching between warehouses within a short distance and reduces product inventory costs in adjacent warehouses;

[0048] Step B4: The early warning generation module generates early warning signals of different levels according to the ratio of the inventory statistics data corresponding to each product in a certain range of storage to the production capacity data of finished products entering the warehouse, and feeds them back to the component monitoring module, the semi-finished product monitoring module and the finished product monitoring module respectively;

[0049] Early warning signals are divided into overcapacity and overdemand. Among them, overcapacity is divided into yellow capacity warning, orange capacity warning and red capacity warning, and overdemand is divided into yellow demand warning, orange demand warning and red demand warning.

[0050] When the warning signal is a yellow warning for production capacity or a yellow warning for demand, the warning generation module will feed back the warning signal to the finished product monitoring module, and the finished product monitoring module will monitor and adjust the production plan and scheduling of finished product entry, and adjust the finished product entry capacity; when the warning signal is an orange warning for production capacity or an orange warning for demand, the warning generation module will feed back the warning signal to the semi-finished product monitoring module, and the semi-finished product monitoring module will monitor and adjust the production plan and scheduling of finished products, and adjust the finished product capacity and the finished product entry capacity; when the warning signal is a red warning for production capacity or a red warning for demand, the warning generation module will feed back the warning signal to the component monitoring module, and the component monitoring module will monitor and adjust the production plan and scheduling of semi-finished products, adjust the semi-finished product, finished product and finished product packaging entry capacity, and adjust the component procurement plan, and overall adjust and control the manufacturing nodes; according to the feedback information of the warning signal, the monitoring and adjustment of the manufacturing nodes are refined, and the response agility is improved to ensure that all types of products can be supplied efficiently, quickly and in a timely manner.

[0051] Specific steps of the monitoring method of the distribution monitoring unit:

[0052] Step C1: Obtain order data information through the order reading module, the order data information includes the expected delivery time, the storage location of the supplied products and the delivery destination;

[0053] Step C2: Performing distribution route analysis based on the storage location of the supplied products and the distribution destination information through the distribution analysis module to obtain multiple distribution routes with duration identifiers;

[0054] Step C3: screening multiple delivery routes with time identifiers according to the expected delivery time through the delivery screening module to obtain the best delivery route;

[0055] Step C4: Share the best delivery route information with customers through the delivery information sharing module.

[0056] The location of the supply product storage location is all storage locations within a range with a certain distance as the radius and the delivery destination as the center. Multiple delivery routes with time marks also include multiple routes between multiple storage locations and the delivery destination, as well as multiple routes between a single storage location and the delivery destination. The highest priority for screening the best delivery route is the shortest time, followed by the shortest distance. Finally, the real-time monitoring data of the delivery route is shared with customers to facilitate customers to monitor the delivery situation, reduce delivery costs, improve the scientific nature of logistics route planning, and improve the efficiency of logistics order delivery.

[0057] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A logistics supply chain business monitoring system, characterized by: It includes a manufacturing monitoring unit for monitoring workshop manufacturing nodes, a storage monitoring unit for monitoring warehouse nodes, and a distribution monitoring unit for monitoring distribution nodes; The manufacturing monitoring unit includes a component monitoring module for monitoring the processes, machine types and personnel required to be experienced from semi-finished products to semi-finished products within the cycle time, as well as the semi-finished product capacity data; a semi-finished product monitoring module for monitoring the processes, machine types and personnel required to be experienced from semi-finished products to finished products within the cycle time, as well as the finished product capacity data; and a finished product monitoring module for monitoring the processes, machine types and personnel required to be experienced from finished products to warehousing within the cycle time, as well as the warehousing capacity data; The warehouse monitoring unit includes a data acquisition module for monitoring the difference data between finished product entry and order exit and the difference data of similar products in adjacent warehouses, a data analysis and processing module for analyzing and processing the difference data between finished product entry and order exit and the difference data of similar products in adjacent warehouses, and an early warning generation module for generating early warning information according to the difference and feeding it back to the manufacturing monitoring unit; The delivery monitoring unit includes an order reading module for acquiring order data information, a delivery analysis module for analyzing delivery routes, a delivery screening module for screening the best delivery route, and a delivery information sharing module for customers to monitor delivery information.

2. A logistics supply chain business monitoring method applied to a logistics supply chain business monitoring system as claimed in claim 1, characterized in that: The specific steps of the monitoring method for manufacturing the monitoring unit are as follows: Step A1: Scan the labels of the parts through the parts monitoring module to record the use, current status and source information of the parts, and record the processes, models and personnel experienced in the production process from parts to semi-finished products, and monitor and count the production capacity data within the semi-finished product cycle time; Step A2: Monitor and record the processes, machines and personnel involved in the production process from semi-finished products to finished products through the semi-finished product monitoring module, and monitor and count the production capacity data within the finished product cycle time; Step A3: Monitor and record the processes, machine types and personnel involved in the process from finished product to warehousing through the finished product monitoring module, and monitor and count the production capacity data of finished product warehousing within the cycle time; Specific steps of the monitoring method of the warehouse monitoring unit: Step B1: Obtain the order data and warehousing data of each product within the cycle time through the data acquisition module and obtain the corresponding difference data; Step B2: Obtain the corresponding difference data of each product in adjacent warehouses through the data acquisition module; Step B3: The data of step B1 and step B2 are processed again by the data analysis and processing module to obtain the corresponding inventory statistical data of each product within a certain range of storage; Step B4: The early warning generation module generates early warning signals of different levels according to the ratio of the inventory statistics data corresponding to each product in a certain range of storage to the production capacity data of finished products entering the warehouse, and feeds them back to the component monitoring module, the semi-finished product monitoring module and the finished product monitoring module respectively; Specific steps of the monitoring method of the distribution monitoring unit: Step C1: Obtain order data information through the order reading module, the order data information includes the expected delivery time, the storage location of the supplied products and the delivery destination; Step C2: Performing distribution route analysis based on the storage location of the supplied products and the distribution destination information through the distribution analysis module to obtain multiple distribution routes with duration identifiers; Step C3: screening multiple delivery routes with time identifiers according to the expected delivery time through the delivery screening module to obtain the best delivery route; Step C4: Share the best delivery route information with customers through the delivery information sharing module.

3. A logistics supply chain business monitoring method according to claim 3, characterized in that: The warning signals are divided into two types: overcapacity and overdemand. Among them, overcapacity is divided into yellow capacity warning, orange capacity warning and red capacity warning, and overdemand is divided into yellow demand warning, orange demand warning and red demand warning.

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